How to Easily Scrape Zillow Agents for Free: No-Code & Python Steps
Gathering real estate agent contacts and listings from Zillow can supercharge lead generation, market analysis, and competitive research. However, many hesitate—unsure about which tools to use, how to avoid blocks, or whether scraping is even legal. This guide breaks down proven, free methods—both no-code and code-based—alongside best practices for proxy rotation using OkeyProxy. Whether you’re a beginner or a seasoned pro, you’ll find step-by-step instructions to extract agent names, phone numbers, and listings efficiently.
Why Scrape Zillow Agents’ Data?
Scraping Zillow agent data offers powerful benefits:
Lead Generation: Direct contact with listing agents fuels outreach campaigns.
Market Intelligence: Track agent performance, active listings, and pricing trends.
Competitive Analysis: Compare marketplace activity across regions or brokerages.
Custom Reporting: Build dashboards or CRM imports with structured data.
For comment data, please check our blog"How To Scrape Zillow Reviews in US In 2025".
Three Methods Comparison
Here’s a quick overview of the methods we’ll cover:
| Feature | No-Code Visual Tool | Python Library Scraper | Headless Browser Automation |
| Coding Required | No | Yes | Yes |
| Setup Time | ~5 minutes | ~10–15 minutes | ~15–20 minutes |
| Dynamic JS Handling | Built-in | Limited | Full support |
| Anti-Block Strategy | Proxy integration | Manual Setup | |
| Data Export | CSV, Excel, JSON | CSV, DB | CSV, JSON |
| Free Limitations | Link-count caps | None | Trial-based rate limits |
| Pros |
Fast setup with no technical skills required. User-friendly interface |
Free with no limits. Highly customizable. |
Handles dynamic content effortlessly. Full control over scraping logic. |
| Cons | Limited by free-tier link or row caps. |
Requires coding knowledge. Limited handling of JavaScript-heavy pages. |
Steeper learning curve. Resource-intensive. |
Legal & Ethical Considerations
Before scraping, keep these in mind:
Terms of Service: Always review Zillow’s TOS to ensure compliance; avoid overloading servers.
Data Privacy: Use scraped data responsibly; don’t share personal contact info without consent.
Rate Limits: Start small—under 10 requests/minute—and monitor for blocks.
Approach 1: No-Code Visual Scraping
No-code tools let you scrape Zillow agent data without writing a single line of code—perfect for beginners.
1. Setup & Account Creation
Register for the free tier of your chosen visual scraper. Verify your email and log in.
2. Point-and-Click Configuration
Paste a Zillow search URL (e.g., agents in “Los Angeles, CA”).
Use the tool’s auto-detection to identify fields like agent name, phone, agency, and profile link.
Fine-tune by clicking elements or adding CSS selectors if needed.
3. Run, Schedule & Export
Run your task to verify. Schedule daily or weekly runs to get fresh leads. Export results to CSV, Excel, or JSON for CRM import.
Tip for Professionals
Use built-in cloud proxies sparingly; for higher volumes, integrate OkeyProxy (see below) to reduce costs and avoid caps.
Approach 2: Python Library Scraper
For those comfortable with coding, a Python-based scraper offers flexibility and no usage caps.
1. Installing the Open-Source Tool
bash
pip install pyzill
2. Configuring Requests & Parsing
python
import pyzill
from pyzill import ZillowScraper
# Initialize with OkeyProxy
scraper = ZillowScraper(proxy="http://USER:[email protected]:8000")
# Fetch agent listings for a city
results = scraper.search_agents(city="Los Angeles, CA")
print(results)
3. Handling Pagination & Data Storage
python
import pandas as pd
all_agents = []
for page in range(1, 6): # scrape first 5 pages
agents = scraper.fetch_page(page)
all_agents.extend(agents)
# Save to CSV
pd.DataFrame(all_agents).to_csv("zillow_agents.csv", index=False)
Pro Insight
Add error handling for HTTP 429 status codes; retry after random delays to mimic human browsing. Example:
from time import sleep
for attempt in range(5):
python
try:
data = scraper.fetch_page(page)
break
except pyzill.TooManyRequestsError:
sleep(2 ** attempt)
Approach 3: Headless Browser Automation
Headless browsers excel at scraping dynamic, JavaScript-rendered content like Zillow’s agent pages.
1. Environment Preparation
bash
npm install puppeteer
2. Navigating Dynamic Content
javascript
const puppeteer = require('puppeteer');
(async () => {
const browser = await puppeteer.launch({ headless: true });
const page = await browser.newPage();
await page.goto('https://www.zillow.com/agent-reviews/los-angeles-ca/');
// wait for agent list to load
await page.waitForSelector('.agent-list-card');
})();
3. Extracting Phone Numbers & Agent Details
javascript
const agents = await page.$$eval('.agent-list-card', cards =>
cards.map(card => ({
name: card.querySelector('.agent-name').innerText,
phone: card.querySelector('.agent-phone').innerText,
profile: card.querySelector('a').href,
}))
);
console.log(agents);
await browser.close();
Advanced Tip
Use page.evaluate to tap into embedded JSON‑LD scripts for more reliable data extraction.
Anti-Blocking & Proxy Rotation with OkeyProxy
Scraping Zillow risks IP bans or CAPTCHAs without proper precautions. Proxy rotation keeps your requests flowing smoothly.
Why Rotate Proxies?
Prevent IP Bans: Zillow imposes rate limits and blocks repeated requests.
Avoid CAPTCHAs: Diverse IPs reduce bot-detection triggers.
Integrating OkeyProxy into Each Method
No-Code Tools: Enter your OkeyProxy endpoint in the scraper’s proxy settings.
Python Scraper: Pass proxy="http://user:[email protected]:8000" when initializing.
Puppeteer:
javascript
await page.authenticate({username: "user", password: "pass"});
await browser.newPage({ args: ['--proxy-server=http://proxy.okeyproxy.io:8000'] });
Troubleshooting & FAQ
| Issue | Cause | Solution |
| HTTP 429 Too Many Requests | Exceeding Zillow’s rate limit | Slow down requests, add randomized delays, rotate proxies more frequently. |
| Empty or Missing Fields | Page structure changed | Re-inspect selectors, switch to JSON-LD parsing via evaluate(). |
| CAPTCHA Challenge | Bot detection triggered | Use OkeyProxy residential IPs, increase human-like delays, or switch methods. |
| CSS Selector Not Found | Dynamic loading of elements | Add await page.waitForSelector() before extraction, or use network idle waits. |
| Export File Corrupted | Interrupted scraping run | Ensure tasks complete before export, or write row-by-row to CSV in Python. |
Conclusion
Scraping Zillow agents for free is accessible to everyone—whether you prefer a no-code tool’s simplicity or Python’s power. With OkeyProxy to bypass blocks and these step-by-step guides, you’re ready to gather valuable real estate data. Pick your method, follow the steps, and respect legal boundaries—your next insight is just a scrape away! Sign up today to get your free trial.
